A new framework called Conservati learns Earth Observation satellite scheduling constraints interactively via a binary oracle. Most current methods assume constraints are fully specified, but real-world power and thermal limits often hide in simulators. This research enables systems to discover feasibility boundaries through trial. Practitioners can now optimize schedules without explicit mathematical models.